rag.yaml

# yaml-language-server: $schema=dist/rag.schema.json
# AgentContextOS — platform configuration
# This is the portability contract: change backends here, nothing else.
# Full schema: dist/rag.schema.json | Validate: ragctl config validate rag.yaml
# Reference configs: examples/configs/
version: "1"

platform:
  name: agentcontextos
  env: local   # local | staging | production

backends:
  vector_store:
    provider: none     # set to lancedb, pgvector, qdrant, etc. to activate

  keyword_store:
    provider: none

  graph_store:
    provider: none

  # Step 3.5 — corpus registry the corpus router reads visible corpora from.
  # `none`/`in_memory` keep local dev creds-free; set `postgres` in prod.
  corpus_store:
    provider: none

  embedder:
    provider: none     # set to ollama, openai, hf_local, etc.
    model: ""

  reranker:
    provider: none

  llm:
    provider: none
    model: ""

  cache:
    provider: memory
    ttl_seconds: 3600

  queue:
    provider: inproc

  storage:
    provider: local_fs
    config:
      root: ".data/storage"

  secrets:
    provider: env

  auth:
    provider: none

  telemetry:
    exporter: none

retrieval:
  top_k: 10
  hybrid_weights:
    dense: 0.5
    sparse: 0.3
    graph: 0.2
  # Step 3.5 — corpus router.  `all` fans out across every visible corpus;
  # switch to `static_rules` / `learned` once corpora + rules are registered.
  routing:
    strategy: all
    fan_out: true